125 citations · 994 across the 24 of their papers we have counts for
4 papers · 1 filter
Variational Autoencoders for New Physics Mining at the Large Hadron Collider
Olmo Cerri, Thong Q. Nguyen, Maurizio Pierini +2
Using variational autoencoders trained on known physics processes, we develop a one-sided threshold test to isolate previously unseen processes as outlier events. Since the autoenc…
Pileup mitigation at the Large Hadron Collider with Graph Neural Networks
Jesus Arjona Martinez, Olmo Cerri, Maurizio Pierini +2
At the Large Hadron Collider, the high transverse-momentum events studied by experimental collaborations occur in coincidence with parasitic low transverse-momentum collisions, usu…
Identification of Long-lived Charged Particles using Time-Of-Flight Systems at the Upgraded LHC detectors
O. Cerri, S. Xie, Cristian Peña +1
We study the impact of picosecond precision timing detection systems on the LHC experiments' long-lived particle search program during the HL-LHC era. We develop algorithms that al…
Topology classification with deep learning to improve real-time event selection at the LHC
Thong Q. Nguyen, Daniel Weitekamp, Dustin Anderson +5
We show how event topology classification based on deep learning could be used to improve the purity of data samples selected in real time at at the Large Hadron Collider. We consi…